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Examining the Temporal Dynamics of Risk Communication During Extreme Weather Events: Insights From a Scoping Review.

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Dynamic risk communication helps people make informed decisions during extreme weather. Understanding how people receive and react to evolving risk information is key to improving safety and well-being.

Keywords:
dynamicsextreme weatherlongitudinalprotective behavioral decision‐makingrisk communication

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Area of Science:

  • Environmental Science
  • Risk Communication
  • Behavioral Science

Background:

  • Extreme weather events necessitate timely individual responses.
  • Dynamic risk communication, which updates with evolving risks, aids informed decision-making.
  • Existing research examines dynamic risk communication across diverse populations and events.

Purpose of the Study:

  • To synthesize empirical evidence on the temporal dynamics of risk communication during extreme weather events.
  • To understand how individuals interact with dynamic risk communication over time.
  • To identify factors influencing risk communication encounters and subsequent responses.

Main Methods:

  • Scoping review of 14 empirical articles.
  • Analysis of how individuals interact with dynamic risk communication.
  • Identification of antecedents (environmental, personal, social factors) and consequences (appraising, behavioral responses).

Main Results:

  • Individuals engage with varied forms of dynamic risk communication throughout extreme weather events.
  • Environmental, personal, and social factors influence encounters with dynamic risk communication.
  • Individual appraisal and behavioral responses are key consequences of encountering dynamic risk communication.

Conclusions:

  • Opportunities exist to better align risk communication with individual information needs during extreme weather.
  • Longitudinal research is needed to examine time-varying constructs and individual differences.
  • Further study should explore contextual influences on protective decision-making during extreme weather events.